Digital Commons Network^™

Investigating The Impact Of Outreach Programmes On Second Level Students In Formal And Informal Computer Science Education In Ireland, Karen Nolan

Doctoral

Computer Science (CS) education at second-level in Ireland has undergone significant development, including the introduction of the Leaving Certificate Computer Science (LCCS). However, the existing literature examined demonstrated that access to and participation in CS education is uneven, resulting in many students having limited exposure CS at second-level before making educational choices. At the same time, students who elect to study LCCS require appropriate support as they engage with programming and other aspects of a relatively new formal curriculum. This thesis investigates the function of school-based CS outreach in helping students at these various phases of their second-level CS education …

Ranked Choice Voting And Condorcet Failure In The Alaska 2022 Special Election: How Might Other Voting Systems Compare?, Jeanne Clelland

The Mathematics Enthusiast

The August 2022 special election for the U.S. House of Representatives in Alaska featured three official candidates and was conducted by the single-winner ranked choice voting system known as “Instant Runoff Voting.” The results of this election displayed a well-known but relatively rare phenomenon known as “Condorcet failure:” Nick Begich was eliminated in the first round despite being more broadly acceptable to the electorate than either of the other two candidates. More specifically, Begich was the Condorcet winner of this election: Based on the Cast Vote Record, he would have defeated each of the other two candidates in head-to-head contests, …

The Topology Of Simple Games, Leah Valentiner, Ismar Volić

The Mathematics Enthusiast

We initiate the study of simple games from the point of view of combinatorial topology. The starting premise is that the losing coalitions of a simple game can be identified with a simplicial complex. Various topological constructions and results from the theory of simplicial complexes then carry over to the setting of simple games. Examples are cone, join, and the Alexander dual which have interpretations as familiar game-theoretic notions and objects such as the arithmetic of games and dual games. We also provide some new topological results about simple games, most notably in applications of homology of simplicial complexes to …

Redistributing Votes When Candidates Drop Out Of An Election, Stanley R. Huddy, Michael A. Jones, Jennifer M. Wilson

The Mathematics Enthusiast

The U.S. Presidential Primary is a series of statewide primaries and caucuses used by the Democratic and Republican parties to winnow a pool of candidates to arrive at their nominees. As unsuccessful candidates leave the race, there is a question as to how voters who planned to vote for the candidate reassign their votes in the upcoming primaries/caucuses. When a profile of voters’ preferences is independent of elimination under plurality, then voters whose first-place candidate has dropped out of the race have their votes distributed to the remaining candidates in the same proportion of the remaining candidates’ first-place votes. For …

Instructive Misadventures When Calculating Election-Related Probabilities, David Mccune

The Mathematics Enthusiast

This article describes an interesting error I committed in the course of my research in voting theory. While embarrassing, the error has led to productive discussions about mathematical failure with my students in my probability and statistics course. I describe my mistake and discuss how the incorporation of such mistakes into the classroom can enhance student trust and engagement.

States Of Disarray: Cleaning Data For Gerrymandering Analysis, Ananya Agarwal, Fnu Alusi, Arbie Hsu, Arif Syraj, Ellen Veomett

The Mathematics Enthusiast

The mathematics of redistricting is an area of study that has exploded in recent years. In particular, many different research groups and expert witnesses in court cases have used outlier analysis to argue that a proposed map is a gerrymander. This outlier analysis relies on having an ensemble of potential redistricting maps against which the proposed map is compared. Arguably the most widelyaccepted method of creating such an ensemble is to use a Markov Chain Monte Carlo (MCMC) process. This process requires that various pieces of data be gathered, cleaned, and coalesced into a single file that can be used …

The Irrationality Of The California Gubernatorial Recall System, Wesley H. Hollday, Eric Pacuit

The Mathematics Enthusiast

We analyze California’s gubernatorial recall system using basic ideas from the mathematical theory of social choice. We expose some pathologies of the system, use computer simulations to explore how often these pathologies might occur, investigate the effects of strategic voting on the analysis, and suggest changes to the system that cure the pathologies.

Bard Observer Vol. 25 No.1 (September 2026), Bard College

Bard Observer, 2020 - 2029

No abstract provided.

Can A Critical Reflection-Based Intervention Effectively Teach Intersectional Awareness Of Gendered Racism? An Empirical Study With College Students, Jayantika Chakraborty, Alena G. Esposito

Psychology

Intersectional awareness of gendered racism refers to the understanding of how intersecting systems of power and inequality shape the distinct and unequal forms of discrimination experienced by women of color across social contexts. This form of awareness recognizes that racism and sexism operate jointly, producing qualitatively different experiences that vary across race, gender expression, and social location. Developing such awareness is foundational to advancing equity and has been linked to outcomes such as student activism and engagement with social justice efforts. However, empirical research examining whether and how intersectional awareness can be cultivated through educational interventions remains limited. Responding to …

From Withdrawal To Impact: Smu Libraries’ Book Rehoming Initiatives, Kai Leong Heng, Eng Ling Lynn Yeo

Research Collection Library

Academic libraries are no strangers to large-scale deselection exercises. Driven by space constraints, evolving curricula, and the shift towards digital resources, the question is no longer whether to withdraw print materials, but what comes next. In the past year, SMU Libraries explored a different answer: instead of recycling withdrawn books, could we reimagine their next chapter, and rehome them to create meaningful impact for the community?

Quantitative Analysis Of Blue 1 Dye In Commercial Sports Drinks By Uv -Vis Spectroscopy And Hplc-Dad, Mikayla Bush

Forensic Science Master's Projects

Food dyes are natural or synthetic substances added to foods, beverages, and cosmetics to enhance color and visual appeal. Although they provide no nutritional value, they are widely used to attract consumers, particularly children. Concerns have been raised about the potential health effects of synthetic dyes, including links to hyperactivity in children, tumor formation at high doses, and possible impacts on gut and brain function. In response, regulatory efforts are ongoing. In April 2025, the U.S. Department of Health and Human Services (HHS) and the Food and Drug Administration (FDA) announced an initiative to phase out petroleum-based food dyes, including …

A History Of University Of Rhode Island Partnerships In The Philippines With Marine Resources And Fisheries Management As Primary Drivers, Michael A. Rice, Donald D. Robadue, Brian Crawford

Fisheries, Animal and Veterinary Sciences Faculty Publications

No abstract provided.

Development And Psychometric Validation With Normative Levels Of The Spotlight Effect Scale Among Students Of Physical Education And Sport Sciences, Raghda Hassan Alazawy, Mais Mahmoud Salman Alazawy

Modern Sport

The Spotlight Effect, defined as individuals' tendency to overestimate the extent to which others notice and evaluate them, has important implications for psychological functioning, social interaction, and performance in educational and sport environments. Despite previous studies have addressed the Spotlight Effect theoretically and empirically, no validated instrument has been specifically developed to assess this construct especially among students of Colleges of Physical Education and Sport Sciences. This study aimed to develop and validate a Spotlight Effect Scale and establishing normative levels for its interpretation. The descriptive survey approach was used, involving 555 students from Colleges of Physical Education and Sport …

Effects Of Magnesium Supplementation On Selected Strength And Speed Performance Tests In Elite Soccer Players, Dalshad Mohammed Abdulrahman

Modern Sport

Magnesium supports energy metabolism, neuromuscular regulation, and muscle contraction, yet direct evidence for its supplementation benefits on explosive strength and sprint performance in elite soccer players remains limited. This study examined the effect of eight weeks of magnesium supplementation, combined with regular training, on vertical jump height and 30-m sprint performance in elite soccer players. This exploratory, open-label, randomized controlled trial used a parallel pretest–post-test design. Twenty-four first-team players from Duhok Sports Club were randomly allocated (1:1) to receive either 350 mg/day elemental magnesium (as magnesium citrate) for 8 weeks or regular training alone. Primary outcomes were vertical jump height …

Integration Of Lipidomic And Polygenic Risk Scores Within Contemporary Clinical Cardiovascular Risk Assessment Pathways: A Multi-Cohort Development And Validation Study, Aleksandar Dakic, Jingqin Wu, Tingting Wang, Thomas G. Meikle, Kevin Huynh, Changyu Yi, Habtamu B. Beyene, Agus Salim, Michelle Cinel, Nat Mellett, John Blangero

Human Genetics Publications

Background: Guideline-recommended clinical risk scores such as AusCVDRisk underestimate cardiovascular disease (CVD) risk in a substantial proportion of individuals who later experience events, with up to 65% initially classified as low or intermediate risk. This limitation is most consequential in the intermediate-risk group, where treatment decisions are uncertain and additional risk refinement could alter management. Circulating lipid species and inherited genetic variation capture complementary molecular aspects of atherosclerotic risk that are not fully reflected by conventional clinical variables, but are not routinely incorporated into primary-care risk assessment. We investigated whether selective integration of lipidomic and genomic risk signals into AusCVDRisk …

Endocarditis Caused By Candida (Candidozyma) Auris, Farah Ebrahim, Mzee Ngunga, Abdulaziz Abeid, Hilda Nasibwa, Newnex Mongare, Rodney Adam

Internal Medicine, East Africa

Candida (Candidozyma) auris has emerged as a hospital-acquired pathogen and was first reported in East Asia in 2009. Infective endocarditis due to C. auris has been rarely reported, while other Candida species account for < 2% of infective endocarditis (IE) cases. Herein we report three cases of endocarditis caused by C. auris , including a native aortic valve, a native tricuspid valve, and a prosthetic valve. Each of these cases had been in healthcare settings months to years earlier that were the likely sources of their infec- tions. These cases suggest the possibility for indolent but life-threatening infections from C. auris . ©2026 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.

Strategies To Improve Outcomes Of Obstetric Emergencies In Sub-Saharan Africa: A Scoping Review, Serah Wachira, Ruth Wagathu, Beth Waweru, Rose Maina, Abednego Ongeso, Constance Sibongile Shumba, Benard Mutwiri, Diana Mbattude, Cliff Aliga, Lucy Kisaka, Peter Gatiti

School of Nursing & Midwifery, East Africa

Background: Obstetric emergencies remain a leading cause of maternal morbidity and mortality in sub-Saharan Africa (SSA) despite increased access to facility-based deliveries and emergency obstetric care. Improving outcomes requires not only life-saving clinical interventions but also effective health system strategies. This review mapped published evidence on strategies used to improve outcomes of obstetric emergencies in SSA.

Objective: This scoping review aimed to identify strategies reported in the literature to improve outcomes of obstetric emergencies in SSA.

Methods: The review was reported in accordance with PRISMA-ScR. A comprehensive electronic search of PubMed, CINAHL, SCOPUS, and CORE identified studies published between January …

Uncovering Customer Sentiment And Brand Perception By Leveraging Large Language Models: A Case Study In The Automotive Industry, Sujith Samuel Mathew, Kadhim Hayawi, Faseela Abdullakutty, Neethu Venugopal, May El Barachi

All Works

Analyzing customer perceptions has become increasingly important in the automotive industry as it provides actionable insights into consumer satisfaction, preferences, and areas requiring improvement. This study proposes a novel perception analysis framework for automotive reviews using advanced Large Language Models (LLMs), including BERT, FLAN-XXL, and Mistral 7B, leveraging zero-shot learning to categorize reviews without task-specific training data. The framework follows a two-stage evaluation process, beginning with zero-shot perception classification and followed by a detailed topic-wise perception analysis. Model performance was evaluated using accuracy, precision, recall, and F1-score across reviews from five major automotive brands—Toyota, Kia, Honda, Nissan, and Hyundai. While …

Deployment-Oriented Evaluation Of Temporal And Spatial Forecasting Approaches For Electric Vehicle Charging Demand In Energy Systems, Maher Alaraj, Eyob Solomon Getachew

All Works

Accurate short-term electric vehicle (EV) charging demand forecasting is important for charging infrastructure operation, grid management, and energy-system planning. This study presents a deployment-oriented and reproducible evaluation of temporal, spatial, and unified spatio-temporal forecasting approaches for day-ahead EV charging demand prediction. Using publicly available charging-session data aggregated at hourly resolution across ZIP-code regions, we compare persistence and ARIMA baselines, XGBoost, Long Short-Term Memory (LSTM) networks, Graph Convolutional Networks (GCNs), and a unified GCN+LSTM architecture under a consistent preprocessing pipeline, leakage-free validation protocol, and rolling-origin evaluation framework. For the Boulder ZIP-code dataset considered in this study, temporal information provided the dominant …

Bridging The Dermatology Divide: A Literature Review Of Artificial Intelligence–Enabled Point-Of-Care Tools For Skin Cancer Detection In Primary Care, Jared Hensley, Smaran Marupudi, Maria Villegas

School of Medicine Publications

The United States faces a critical dermatology workforce shortage, with more than 60% of counties lacking specialist access. Primary care providers (PCPs) are often tasked with managing suspicious skin lesions but demonstrate lower diagnostic accuracy than dermatologists. Artificial intelligence (AI) tools offer potential solutions, and meta-analytic evidence demonstrates that AI assistance improves PCP sensitivity by 13 percentage points and specificity by 11 percentage points. Yet only 1 Food and Drug Administration–authorized device (January 2024) is cleared for nondermatologist use in the United States. This device achieves 96% sensitivity but only 21% specificity, meaning most positive results are false alarms. A …

Homegrown: U.S. Federal Cases Against Isis (2014 - 2026), Seamus Hughes, Callie Vitro, Camden Carmichael, Mackenzie Harms, Austin C. Doctor

Reports, Projects, and Research

The Islamic State of Iraq and Syria (ISIS) is a transnational Salafi-jihadist terrorist group, designated as a foreign terrorist organization (FTO) by the U.S. Department of State. Since 2014 when the leader of ISIS declared the global caliphate, 280 individuals have been federally charged with ISIS-related crimes in U.S. federal courts. Since ISIS is a designated FTO, most cases (74.28%) involving ISIS-related activity involve the use of material support statutes. This brief summarizes the scope of federal court cases related to ISIS in the U.S. since 2014.

Relationships Between Psychosocial Aspects Of Stuttering And Self-Disclosure Of Stuttering In A Japanese Sample, Daichi Iimura, Saburo Takahashi, Mizuki Aoki, Kentaro Yoshizawa, Kota Yanai, Shoko Miyamoto, Michael P. Boyle

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Purpose We aimed to psychometrically evaluate a Japanese version of the Disclosure of Stuttering Scale, from Boyle et al. (2018), and identify the psychosocial factors associated with level of stuttering self-disclosure among adults who stutter.

Methods: Adults who stutter were recruited via stuttering self-help groups in Japan and the authors’ contacts. Participants completed their demographics, the Disclosure of Stuttering Scale and other psychological scales assessing affective, cognitive, and social aspects of stuttering via an online survey. We analyzed 180 participants after those with unreliable or duplicate responses were excluded. The scale’s reliability and validity were confirmed, and multiple linear regression …

Longstanding Mental Representations Of Familiar Faces, Sarah Laurence, A. Mike Burton, Camilla During, Jennifer Pink, Lucy Wilson, Mila Mileva

School of Psychology

As we recognise people we know over many years, their faces can change, sometimes profoundly, and yet we continue to recognise them with ease. How do we update our representations over time? We present four pre-registered experiments to examine this. In Experiment 1, using likeness ratings and speeded name verification, fans of a long-running TV soap opera demonstrated that their representations of the characters’ faces were weighted towards their most recent encounters – when the characters were oldest. While we initially hypothesised that this was due to recency, Experiment 2 showed this not to be the case. When new participants …

Temporal Changes In Mechanical Pin Prick Sensitivity Following High Frequency Induced Sensitisation Of Central Nociceptive Pathways: A Test Re-Test Reliability Study, Samuel Mugglestone, Giorgio Ganis, Sam W. Hughes

School of Psychology

High-frequency stimulation (HFS) is a human surrogate model of secondary hyperalgesia and a key experimental tool for understanding the mechanisms and modulation of central nociceptive pathways. An emerging area of research focuses on the role of top-down endogenous analgesic systems during secondary hyperalgesia development. However, the test-retest reliability of the early temporal changes in sensitivity are poorly understood. In the present study, we investigated the between-session reliability of the early temporal dynamics and late-phase expression of HFS-induced changes in mechanical pinprick sensitivity in a heterotopic area on the forearm in 28 healthy participants across five time points relative to HFS …

Vicarious Trauma: The Psychological Impact On Counsellors And Psychotherapists Working With Survivors Of Sexual Abuse., Deborah Down, Alison Bacon

School of Psychology

Background: Vicarious trauma (VT), the psychological distress that occurs from exposure to the trauma of others, is prevalent among therapists, but has not previously been explored in those working specifically with survivors of sexual trauma. This qualitative study explores counsellors‘ and psychotherapists‘ experiences of VT when working with survivors of sexual abuse. Method: Semi-structured interviews uncovered complex emotional and psychological impacts, highlighting how exposure to traumatic sexual abuse narratives can affect counsellors‘ and psychotherapists‘ wellbeing, and professional and personal identity. A reflexive thematic analysis was conducted. Results: Four key themes were identified. (1) The Impact of VT reveals the emotional …

Discomfort Avoidance And Desire For Normality Are Decision-Making Drivers Of Footwear Choice In Underserved Communities At Risk Of Diabetic Foot Ulcer, Krithika Anil, Neeraj Sharma, Sonal Patel, Jess Bailey, Catherine Smith, Sally Abey, Kayce Allcock, Richard Collings, Joanne Paton

School of Health Professions

BackgroundDiabetes-related foot ulceration (DFU) is a serious complication that can lead to lower limb amputation or death. Custom-made footwear is a key preventative strategy, yet adherence to use is often low. The factors influencing decision-making for footwear use remain unclear, particularly among underserved groups such as people from low socioeconomic and South Asian backgrounds. This study aimed to identify the psychological mechanisms underlying footwear choice and adherence in people with diabetes from low socioeconomic and South Asian populations.MethodsThis study used a qualitative approach conducted in two parts. Part 1 explored footwear-related experiences using one-to-one interviews informed by the COM-B model …

Exploring Factors Affecting The Use Of Blended Diets For Children And Young People In Health, Education And Social Care Settings In The Uk: The Protocol For A Realist Mixed Methods Study, Gemma Phillips, Jane Coad, Mary Hickson, Joseph C. Manning

School of Health Professions

Background Enteral tube feeding provides supplementary or alternative nutrition for individuals who cannot meet their nutritional needs orally and remains essential for a number of children and young people with complex health needs. Commercial formula remains standard practice in the UK, although increasing numbers of children and their families are choosing a blended diet and reporting significant physical and social benefits. However, support for families in using blended diets varies across health, education and social settings in the UK. Aim To explore factors affecting the use of blended diets in health, education and social care settings. Methods This sequential mixed …

Learning 1-Bit Lidar-Based Localization With Auxiliary Objective, Kaijie Yin, Zhiyuan Zhang, Tian Gao, Wentao Zhu, Cheng-Zhong Xu, Hui Kong

Research Collection School Of Computing and Information Systems

6-DoF LiDAR-based localization is a fundamental capability for autonomous systems operating in large-scale outdoor environments. Many deep-learning-based localization methods have achieved promising performance so far. However, as one of the always-on modules competing for limited on-board computational resources, the localization module is expected to consume only a small portion of the overall compute budget. Most existing learning-based methods are still too heavy for this purpose. In contrast, binary neural networks (BNNs) offer an appealing solution, but the 1-bit compression causes severe information loss and performance drop. In this paper, we address this challenge by proposing Binarized LiDAR-based Localization (BiLoc), the …

Generalized Logit Adjustment: Improved Fine-Tuning By Mitigating Label Bias In Zero-Shot Vision Models, Beier Zhu, Qianru Sun, Xun Yang, Hanwang Zhang

Research Collection School Of Computing and Information Systems

Foundation models like CLIP allow zero-shot transfer on various tasks without additional training data. Yet, the zero-shot performance is less competitive than a fully supervised one. Thus, fine-tuning and ensembling are also commonly adopted to better fit the downstream tasks. However, we argue that such prior work has overlooked the inherent biases in foundation models. Due to the highly imbalanced Web-scale training set, foundation models are inevitably skewed toward frequent semantics, and thus the subsequent fine-tuning or ensembling is still biased. In this study, we systematically examine the biases in foundation models and demonstrate the efficacy of our proposed Generalized …

Pengembangan Media Komik Untuk Meningkatkan Pengetahuan Tentang Menggambar Komik Pada Peserta Didik Kelas Viii Smpn 15 Kota Malang, Khairani Indah Damayanti, Abdul Rahman Prasetyo

Journal of Innovation and Teacher Professionalism

This study was motivated by students’ limited understanding of comic drawing concepts and the need for learning media to support art education. It aimed to analyze learning needs, develop comic-based learning media, and examine its feasibility, practicality, and effectiveness. The study employed a Research and Development (R&D) approach using the ADDIE model, comprising analysis, design, development, implementation, and evaluation. The implementation involved 29 eighth-grade students at SMPN 15 Malang, Indonesia. Media feasibility was assessed by subject-matter and media experts, practicality was evaluated based on student and teacher responses, and effectiveness was analyzed using pre-test, post-test, and N-gain scores. The validation …